Atomically-thin Two-dimensional π-conjugated Kagomé Polymer with Dirac Cone-Driven Charge Transport
Bibliographic record
Abstract
Two-dimensional nanomaterials are at the forefront of next-generation technologies, with applications spanning quantum computing, catalysis, and sensing. Among these, on-surface synthesized two-dimensional conjugated polymers (2DCPs) with kagomé lattice symmetry have recently emerged as promising candidates, thanks to their ability to form large, ordered domains and their unique electronic structures featuring both flat bands and Dirac cones. In this work, we report the integration of atomically-thin, surface-confined 2DCPs into field-effect transistors (FETs), marking a step toward their use in functional devices. The fabricated FETs exhibit ohmic transport behavior with Pt contacts and reveal ambipolar graphene-like field induced conductivity modulation, directly linked to the Dirac cone in the electronic band structure. These findings are supported by ab initio density functional theory (DFT) calculations and finite element simulations of the drift-diffusion equation, confirming the transport characteristics. Our results highlight the potential of 2DCPs with kagomé lattice symmetry as highly tunable, organic systems for future applications in nanoelectronics and high-performance sensing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".